Model-Based Reinforcement Learning: Theory and Practice

Blog post by Michael Janner of Berkeley Artificial Intelligence Research on model-based reinforcement learning.

Intro to Data Science: What is Data Science?

This lecture provides an overview of the various components of data science, including data collection, cleaning, and curation, along with visualization, analysis, and machine learning (i.e...

Projectile Motion Practice Problems

In this video, practice along questions on an important topic of Kinematics i.e Projectile Motion. Practicing would help you remember the concepts and also understand them better.

System Identification: Regression Models

This lecture provides an overview of modern data-driven regression methods for linear and nonlinear system identification, based on the dynamic mode decomposition (DMD), Koopman theory, and...

Data-Driven Control: Linear System Identification

Overview lecture on linear system identification and model reduction. This lecture discusses how we obtain reduced-order models from data that optimally capture input--output dynamics.

OIT System Design Laboratory (Japanese)

A collection of video lectures from OIT SDL.

Basic course of control theory (Hungarian and English)

The basic course of control theory is taught in the 3rd year for the students specialized in information technology at the Faculty of Electrical Engineering and Informatics of the Budapest...

Systems Engineering, Part 3: The Benefits of Functional Architectures

Functional, logical, and physical architectures are important tools for designing complex systems. We describe what architectures are and how they contribute to the early stages of a project...

Adaptive Control (Part II) —Modeling the X-15’s Adaptive Flight Control Syst...

This blog post shows how to build from scratch a Simulink model of the famous MH-96, the X-15's Adaptive Flight Control System

Use First-Principles Modeling to Get FOPDT Coefficient Values

Conventionally, we obtain model coefficient values by open-loop step-testing of the process; but this creates undesirable process upsets, and only reveals the local process behavior.  This...

How I put the Google Maps Algorithm on my Autonomous Drone

This fully autonomous drone has an onboard computer ‘brain’, camera ‘eyes’, and an algorithm that generates the fastest path around unknown obstacles as they’re detected mid-flight. Let’s...

MATLAB toolbox for control 101 course

Community toolbox project led by Anthony Rossiter and sponsored by MathWorks. The project incorporates input from various international collaborators. The aim is to make the developed...

Feedback in the Squishy Stuff: Introducing Chemical and Biological Process ...

Feedback doesn’t just happen in robots and self-driving cars, but in the regulation of our very bodies and in the ways in which we transform raw ingredients into materials we can use, be...

Process Dynamics and Control Course

This course focuses on a complete start to finish process of physics-based modeling, data driven methods, and controller design. Although some knowledge of computer programming is required...

READ FIRST: How to learn PLC's and get into the Industrial Automation World ...

r/PLC is dedicated to discussion and questions about Programmable Logic Controllers (PLCs): "an industrial digital computer that has been ruggedized and adapted for the control of...

Introduction to Radar Systems: Target Radar Cross Section

This course is presented by Robert M. O'Donnell, a former researcher at MIT Lincoln Laboratory, and is designed to instill a basic working knowledge of radar systems.

The set of 10 lectures...

Robust Control, Part 3: Disk Margins for MIMO Systems

This video shows how margin can be used to assess the robustness of multi-input, multi-output systems. We’ll show how disk margin is a more complete way to represent margin for MIMO systems...

Educational Tool for Teaching GRAFCET

e-GRAFCET is a tool for supporting the teaching-learning process of GRAFCET ( which can be implemented using the programming language Sequential Function Chart – SFC). While this tool was...

So You Want to be a Systems Engineer

A presentation by Gentry Lee on what qualities and characteristics make a great systems engineer. At the time of the presentation, Gentry Lee was the Chief Engineer for the Solar System...

Geodetic Coordinates: Computing Latitude and Longitude

In this video we show how to compute the geodetic latitude and terrestrial longitude if given the velocity north and east. This is useful for simulating a body moving over a spheroid Earth...

Min IAE Tuning

Procedure and Commentary on tuning for minimum Integral of the Absolute Error

Nathan Kutz:"Data-driven Discovery of Governing Physical Laws"

Seminar by Dr.Nathan Kutz on "Data-driven Discovery of Governing Physical Laws" on 10/31/2018 CICS Seminar Series

Pulse Waveform Analyzer App

The Pulse Waveform Analyzer app lets you explore the properties of signals commonly used in radar. You can display 2-D and 3-D plots that let you visualize waveform time series and spectra.

Ratio Control and Scaled Signal Calculations

When and how to use Ratio Control and use Scaled Signals

MATLAB scripts for "Nonlinear System Identification | System Identification,...

This Github repo contains the data files and MATLAB scripts that were used in "Nonlinear System Identification | System Identification, Part 3".